Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response.
Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response.
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玉米网络分析揭示了参与发育、营养利用、代谢和应激反应的基因模块
DOI:
10.1186/s12870-017-1077-4
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发表时间:
2017-08-01
影响因子:
5.3
通讯作者:
Li P
中科院分区:
文献类型:
--
作者:
Ma S;Ding Z;Li P
BackgroundThe advent of big data in biology offers opportunities while poses challenges to derive biological insights. For maize, a large amount of publicly available transcriptome datasets have been generated but a comprehensive analysis is lacking.ResultsWe constructed a maize gene co-expression network based on the graphical Gaussian model, using massive RNA-seq data. The network, containing 20,269 genes, assembles into 964 gene modules that function in a variety of plant processes, such as cell organization, the development of inflorescences, ligules and kernels, the uptake and utilization of nutrients (e.g. nitrogen and phosphate), the metabolism of benzoxazionids, oxylipins, flavonoids, and wax, and the response to stresses. Among them, the inflorescences development module is enriched with domestication genes (likera1,ba1,gt1,tb1,tga1) that control plant architecture and kernel structure, while multiple other modules relate to diverse agronomic traits. Contained within these modules are transcription factors acting as known or potential expression regulators for the genes within the same modules, suggesting them as candidate regulators for related biological processes. A comparison with an established Arabidopsis network revealed conserved gene association patterns for specific modules involved in cell organization, nutrients uptake & utilization, and metabolism. The analysis also identified significant divergences between the two species for modules that orchestrate developmental pathways.ConclusionsThis network sheds light on how gene modules are organized between different species in the context of evolutionary divergence and highlights modules whose structure and gene content can provide important resources for maize gene functional studies with application potential.
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影响因子:
14.9
作者:
Andorf CM;Cannon EK;Portwood JL 2nd;Gardiner JM;Harper LC;Schaeffer ML;Braun BL;Campbell DA;Vinnakota AG;Sribalusu VV;Huerta M;Cho KT;Wimalanathan K;Richter JD;Mauch ED;Rao BS;Birkett SM;Sen TZ;Lawrence-Dill CJ
通讯作者:
Lawrence-Dill CJ
影响因子:
8.8
作者:
Fertuzinhos S;Li M;Kawasawa YI;Ivic V;Franjic D;Singh D;Crair M;Sestan N
通讯作者:
Sestan N
影响因子:
3.7
作者:
Childs KL;Davidson RM;Buell CR
通讯作者:
Buell CR
影响因子:
64.8
作者:
Doebley, J;Stec, A;Hubbard, L
通讯作者:
Hubbard, L
影响因子:
11.6
作者:
Goodman, CD;Casati, P;Walbot, V
通讯作者:
Walbot, V